import pandas as pd
import yfinance as yf
import datetime
from datetime import date, timedelta
today = date.today()
d1= today.strftime("%Y-%m-%d")
end_date = d1
d2 = date.today()- timedelta(days=720)
d2= d2.strftime("%Y-%m-%d")
start_date = d2
data = yf.download('AAPL', start= start_date,
end=end_date, progress=False)
print(data.head())
Open High Low Close Adj Close \
Date
2020-09-28 115.010002 115.320000 112.779999 114.959999 113.588806
2020-09-29 114.550003 115.309998 113.570000 114.089996 112.729202
2020-09-30 113.790001 117.260002 113.620003 115.809998 114.428673
2020-10-01 117.639999 117.720001 115.830002 116.790001 115.396988
2020-10-02 112.889999 115.370003 112.220001 113.019997 111.671951
Volume
Date
2020-09-28 137672400
2020-09-29 99382200
2020-09-30 142675200
2020-10-01 116120400
2020-10-02 144712000
import plotly.express as px
figure = px.line(data, x = data.index,
y = "Close",
title = "Time Series Analysis (Line Plot)")
figure.show()
import plotly.graph_objects as go
figure = go.Figure(data=[go.Candlestick(x= data.index,
open= data["Open"],
high= data["High"],
low= data["Low"],
close= data["Close"])])
figure.update_layout(title = "Time Series Analysis (Candlestick Chart)",
xaxis_rangeslider_visible = False)
figure.show()
figure = px.bar(data, x = data.index,
y= "Close",
title = "Time Series Analysis (Bar Plot)" )
figure.show()
figure = px.line(data, x= data.index,
y="Close",
range_x= ['2021-07-01','2021-12-31'],
title = "Time Series Analysis (Custom Date Range)")
figure.show()
figure = go.Figure(data =[go.Candlestick(x=data.index,
open = data["Open"],
high=data["High"],
low= data["Low"],
close=data["Close"])])
figure.update_layout(title = "Time Series Analysis (Candlestick Chart with Buttons and Slider)")
figure.update_xaxes(
rangeslider_visible = True,
rangeselector = dict(
buttons = list([
dict(count = 1, label = "1m", step = "month", stepmode = "backward"),
dict(count = 6, label = "6m", step = "month", stepmode = "backward"),
dict(count = 1, label = "YTD", step = "year", stepmode = "todate"),
dict(count = 1, label = "1y", step = "year", stepmode = "backward"),
dict(step = "all")
])
)
)
figure.show()